Showing 2,861 - 2,880 results of 5,656 for search 'complex (selection OR detection) efficiency', query time: 0.28s Refine Results
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    Control-Flow-Based Methods to Support the Development of Sound Workflows by Thomas M. Prinz, Wolfram Amme

    Published 2021-07-01
    “…These techniques provide detailed diagnostic information and have a cubic asymptotic complexity of runtime. Their efficiency and quality is evaluated using a benchmark of over thousand real-world workflows together with two leading state-of-the-art approaches.…”
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    UAV-FAENet: Frequency-Aware and Attention-Enhanced Network for Remote Sensing Semantic Segmentation of UAV Imagery by Dongbo Zhou, Huan Wang, Shiyan Pang, Di Chen, Huang Yao, Jie Yu

    Published 2025-01-01
    “…To address these issues, this article proposes a lightweight and efficient semantic segmentation network for UAV remote sensing images, named UAV-FAENet, aiming to improve the detection accuracy of small targets and the quality of edge segmentation. …”
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    A Multiscale Vision Transformer-Based Multimodal GeoAI Model for Mapping Arctic Permafrost Thaw by Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Zhining Gu, Yili Yang, Brendan M. Rogers, Anna Liljedahl

    Published 2025-01-01
    “…However, their small scale compared to other landform features, vague boundaries, and spatiotemporal variation pose significant challenges for accurate detection. In this article, we extend a state-of-the-art deep learning model to delineate RTS features across the Arctic in a multimodal setting. …”
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    River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

    Published 2025-01-01
    “…It addresses the challenges of spatiotemporal feature extraction in complex geographical environments, and the identification of potential wind-blown sand sources in river channels. …”
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    SGRD: A Ship Group Relationship Description Method Based on Scene Graph Generation With a Global-Local Context Fusion Network by Qianwen Rui, Yanan You, Jingyi Cao, Kaiwen Zhu, Yuanyuan Qiao

    Published 2025-01-01
    “…Consequently, in specific scenes, the concise and efficient description of spatial-temporal relationships between high-value objects (such as vehicles and ships) presents a challenge. …”
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    CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

    Published 2025-01-01
    “…In recent years, the convolutional neural network (CNN) framework and transformer models have demonstrated strong performance in HSI classification, especially in applications requiring precise change detection and analysis. However, due to the high dimensionality of HSI data and the complexity of spectral-spatial feature extraction, achieving accurate results in coastal areas remains challenging. …”
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